Enterprise data governance is an increasingly complex space growing rapidly at scale. Humans need software to help process the amount of information, make meaningful inferences, and illuminate areas of interest and value. Opportunities for automation and innovation far exceed development capacity and budget, so development teams must work with economies of scale as a critical lever in delivering impact without breaking the bank.
Collibra uses data samples to find patterns in tables and columns that suggest similar data, using a combination of AI, mathematics, and statistics to balance cost and performance—and it all runs for pennies on the dollar. Learn how Collibra built this AI algorithm that backs two features today and more in the future, helping business users find relevant data sets and technical users manage the cost, risk, and waste of duplicate data sets.